The Logistics of Logistics

JUNE 14, 2024

By using data analytics and advanced algorithms, Pull Logic helps businesses identify the right products to stock, increase sales, reduce unproductive inventory, and improve sustainability. Timestamps (00:00:00) Solving the $1.8T Timestamps (00:00:00) Solving the $1.8T

Inventory Reduction 341

Inventory Reduction Inventory Optimization Software Supply Chain Software 341

FreightWaves SONAR

DECEMBER 3, 2020

View the Full Case Study. Zaro Transportation offers better service and data-driven rates due to SONAR among other initiatives to include: The company needed to emphasize its value to maintain profitability during disruption. And we are continuously using SONAR data to improve our internal rate model and the algorithms that power it.

Modeling Software 76

Modeling Software Modeling Case Study Supply Chain Software 76

Locus

OCTOBER 5, 2021

With the supply chains of all businesses going through a transformational shift, it is important for them to make tough decisions concerning logistics models. After the pandemic hit, flexible logistics models helped businesses to easily penetrate into dense urban markets at economical costs. What is fixed logistics?

Modeling Software 52

Modeling Software Optimization Modeling Modeling Supply Chain Planning Software 52

AIMMS

JANUARY 28, 2019

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. There was no global master data in place either. I’m curious to learn more about your vision for the model.

Modeling Software 117

Modeling Software Optimization Modeling Optimal Sourcing Modeling 117

FreightWaves SONAR

JULY 10, 2023

Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in data analysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022. and Target Corp.

Data 52

Data Supply Chain Planning Software Manufacturing Procurement Supply Chain Software 52

Logistics at MPEPS at UPV

MARCH 15, 2021

According to the article “ How IoT can improve the logistic pro ces s ” the internet of things (IoT) provides data, which describes objects “physical assets” for example a good to be transported and distributed worldwide. Cloud based services : this makes easier for the customers to get data faster.

Case Study 52

Case Study Study Logistics Network Optimization Software Supply Chain Planning Software 52

Blue Grace Logistics

AUGUST 29, 2024

Understand Sector Impacts: Explore how other transportation modes influence the LTL sector and how LTL fits into a broader, mode-agnostic distribution model. Do you have more questions about this topic? We can help.

Webinar 89

Webinar Resource Reduction Freight Case Study 89

AIMMS

JUNE 16, 2020

How are companies leveraging scenario modeling for network design and optimization ? The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

Scenario Planning 71

Scenario Planning Supply Chain Design Software Supply Chain Design Optimization Modeling 71

The Logistics of Logistics

NOVEMBER 18, 2022

Tive‘s solution provides data generated by its industry-leading trackers allowing clients to actively optimize their shipments, improve their customers’ experience, and unlock supply chain insights in an actionable real-time manner. Biocair case study. Optimize Courier case study. Mercury case study. Josh on LinkedIn.

Supply Chain Software 195

Supply Chain Software Case Study Logistics Network Optimization Software Optimization Software 195

Logistics Viewpoints

MARCH 20, 2023

Based on ARC Advisory Group’s recently released study of the market, this puts them in the top 5. The supply chain planning market got started when supply chain models were put into in-memory databases in the early 1990s. Data is stored just like you might sketch ideas on a whiteboard. How did the company grow so fast?

Supply Chain Planning Software 141

Supply Chain Planning Software Modeling Software Procurement Solutions Supply Chain Software 141

Logistics Viewpoints

AUGUST 4, 2022

In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” So what can we do to make models more useful? Why bother with forecasting if the model is always wrong? Trusting the box.

Supply Chain Planning Software 164

Supply Chain Planning Software Scenario Planning Modeling Software Supply Chain Software 164

FreightWaves SONAR

NOVEMBER 16, 2020

“What’s the best way to use data to beat your competition as a freight brokerage business?” Nevertheless, it all adds up to a greater demand for integrated systems and real-time data. Furthermore, real-time data and SaaS-based resources have additional value in the form of enabling management by exception.

Modeling Software 106

Modeling Software Logistics Network Optimization Software Supply Chain Software Data 106

Logistics Business Magazine

OCTOBER 18, 2024

Billion by 2032′ as reported in the latest study by Global Market Insights , Inc. AI and ML algorithms sift through vast data from digital twins, discerning patterns and making instantaneous decisions. These enhancements facilitate real-time data gathering from assets, vehicles, and infrastructure within the logistics network.

Logistics Network Optimization Software 54

Logistics Network Optimization Software Digital Optimization Software Modeling Software 54

Ship Monk

FEBRUARY 9, 2024

The process usually includes analyzing historical data for seasonal trends and product performance, as well as gathering current data on competitors, marketplace trends, future marketing plans and promotions. All of them rely on data, whether you’re using historical data or new findings gathered from consumer research.

eCommerce 104

eCommerce Operations Inventory Reduction Modeling Software 104

AIMMS

JANUARY 28, 2019

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in a spreadsheet file. There was no global master data in place either. I’m curious to learn more about your vision for the model.

Modeling Software 62

Modeling Software Optimization Modeling Modeling Optimal Sourcing 62

Blue Grace Logistics

APRIL 1, 2024

Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation. These AI-driven models can understand and generate human-like text based on the input provided. The answer lies in data.

Optimal Sourcing 115

Optimal Sourcing Supply Chain Software Optimization Software Supply Chain Planning Software 115

GlobalTranz

SEPTEMBER 23, 2015

Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. What Is Supply Chain Big Data? How Does Big Data Improve a Supply Chain?

Supply Chain Design Software 108

Supply Chain Design Software Supply Chain Software Supply Chain Design Procurement Analytics 108

Logistics Viewpoints

MARCH 1, 2021

The FDA issued an exposure modification order that allows the claim to be made that “scientific studies show that switching completely from conventional cigarettes to IQOS significantly reduces your body’s exposure to harmful or potentially harmful chemicals.”. The tool was able to create a model going out multiple years.

Supply Chain Design Software 120

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Supply Chain Software 120

Logistics Viewpoints

MAY 8, 2023

The model used to balance demand with supply in the integrated business planning meetings needs to be constraint-based. “To The supply planning model can include, at a higher level, the throughput and constraints of several factories. The base model would assume that all factories are producing goods. Can it be any two people?

Supply Chain Planning Software 132

Supply Chain Planning Software Scenario Planning Optimal Sourcing Production 132

GlobalTranz

NOVEMBER 21, 2017

In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. The study, published by the MIT Sloan Management Review , asked 353 participants to discuss their understanding of their companies’ analytics systems. Hanesbrand Inc. ,

Supply Chain Software 69

Supply Chain Software Procurement Analytics Supply Chains Data 69

Logistics Viewpoints

FEBRUARY 28, 2022

Planning applications don’t work well if the master data they rely on is not accurate; this is known as the “garbage in, garbage out” problem. Artificial intelligence is beginning to be used to update the data. Lead times, for example, are a critical form of master data for planning purposes.

Supply Chain Planning Software 178

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 178

Blue Grace Logistics

NOVEMBER 21, 2023

How to Navigate Your Supply Chain During Market Swings Show Submenu Resources The Logistics Blog® Newsroom Whitepaper Case Study Webinars Indexes Search Search BlueGrace Logistics - November 21, 2023 Market conditions play a crucial role in shaping challenges professionals face when managing their organization’s supply chains.

Supply Chain Software 101

Supply Chain Software Supply Chains Optimization Software Modeling Software 101

AIMMS

OCTOBER 24, 2018

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. There was no global master data in place either. I’m curious to learn more about your vision for the model.

Modeling Software 48

Modeling Software Optimization Modeling Optimal Sourcing Modeling 48

AIMMS

JANUARY 9, 2018

Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel. We were transitioning to work with different business models.

Supply Chain Planning Software 96

Supply Chain Planning Software Supply Chain Design Software AIMMS Data 96

Logistics Viewpoints

MARCH 13, 2023

The mean cost of developing a new drug has been the subject of debate, with recent studies estimating that the costs range from $314 million to $2.8 The most recent study estimated that the median cost of getting a new drug to market was $985 million, and the average cost was $1.3 Then I (would) need to model these in Excel.

Supply Chain Planning Software 129

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 129

Talking Logistics

APRIL 17, 2018

Again and again, digitization and data were at the heart of panel and networking conversations. Even headline speakers were professing “data got sexy” and data is now a core strategy for companies looking to succeed. Supply Chain Analytics Maturity Model (Source: Hackett Group).

Supply Chain Design Software 68

Supply Chain Design Software Supply Chain Software Supply Chain Planning Software Supply Chain Design 68

GlobalTranz

NOVEMBER 14, 2016

Big data will be a defining force in the future of logistics, but the benefits of big data are already being felt. This graphic shows the true scope of impact of big data in the Transportation, SupplyChain & Logistics industries. . Big Data in the Transportation Industry Results inFewer Errors in Delivery & Pickup. .

Supply Chain Software 97

Supply Chain Software Supply Chains Data Optimal Sourcing 97

Logistics Viewpoints

JUNE 8, 2023

Studies show that 88% of consumers have abandoned online shopping carts due to unsatisfactory delivery terms, and 85% of customers will not shop with a retailer again after a poor delivery experience. This article explores different pricing models and the integration process, highlighting key considerations and potential challenges.

Modeling Software 135

Modeling Software Optimization Software Supply Chain Design Software Logistics Network Optimization Software 135

Logistics Bureau

APRIL 12, 2021

But let’s wind the clock back a bit and look at some of the simple ways that network design can work before focusing on the more complex models. You don’t need to do a months-long study with specialist tools to work that one out. Spreadsheet Models. You don’t have to launch into something very data-intensive.

Supply Chain Design Software 69

Supply Chain Design Software Supply Chain Design Distribution Networks 69

Logistics Business Magazine

DECEMBER 21, 2022

A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalises a scientific fatigue prediction model for daily use by transportation fleets.

Operations 63

Operations Modeling Software Study Modeling 63

Logistics Business Magazine

JANUARY 13, 2021

In an industry where margins are already tight, the ability of Logistics Service Providers (LSPs) to harness data to make operational and strategic decisions – both in terms of responding to unforeseen events and delivering sustainable profits – can be the difference between survival and obsolescence. across the whole supply chain.

Collaboration 37

Collaboration Data Supply Chain Planning Software Cost Reduction 37

GlobalTranz

JANUARY 21, 2015

Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed Inventory Model for Supply Chain Cost Reductions. Then we select the item to be studied. The distributor maintains the inventory plan.

Vendor Strategies 96

Vendor Strategies Inventory Reduction Cost Reduction Waste Reduction 96

Freightos

MAY 23, 2024

A similar study from 2018 found the same flaws and dynamic led to poor contract reliability even in much less volatile times. Passenger travel proved that digitized capacity and pricing benefits both carriers and customers, and that model is being applied and developed for air cargo. But this problem isn’t new.

Industry 98

Industry Logistics Network Optimization Software Price Reduction Logistics 98

AIMMS

JANUARY 9, 2018

Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel. We were transitioning to work with different business models.

Supply Chain Planning Software 62

Supply Chain Planning Software Supply Chain Design Software AIMMS Data 62

Penske Move Ahead

APRIL 29, 2020

Penske Logistics senior vice president of global sales Joe Carlier will join a panel of experts in a May 21 webinar hosted by the Council of Supply Chain Management Professionals ( CSCMP ) on the 2020 Third-Party Logistics Study. Please note: The study is forward looking and was published in September 2019. By "Move Ahead" Staff.

Supply Chain Planning Software 32

Supply Chain Planning Software Study Supply Chain Software Logistics Network Optimization Software 32